Community Support Network Rehabilitation Intervention Improves Cognitive Functions in Women Who Experienced Intimate Partner Violence-Caused Brain Injury: A Preliminary Study
Bibliographic record
Abstract
Background: Survivors of intimate partner violence (IPV)-caused brain injury (BI) demonstrate cognitive impairments, which ultimately impact quality of life (QoL). Therefore, therapeutic interventions for IPV-BI are required, similar to those for BI from other causes. Objective: To examine the potential feasibility and signs of effectiveness of the community support network (CSN) rehabilitation intervention for promoting recovery of cognitive functions in survivors of IPV-BI. Methods: Women with a mean age of 42.87 years who experienced IPV-BI were recruited from women’s shelters and gender-based violence community organizations. The CSN was administered remotely. Each session lasted for about 2.5 hours for 2 days/week for 3 months (compressed) or for 1 day/week for 6 months (expanded) protocol. The program also included biweekly counseling and monthly peer support. Cognitive functions were assessed before and after the intervention, and at 3/6 months follow up using the Creyos, and Brainex symbol relation assessments (BSRA). The traumatic BI-QoL and the Brain Injury Severity Assessment (BISA) were used to assess QoL and probable IPV-BI, respectively. Results: The results showed an adequate (89%) proportion of recruitment and excellent (100%) adherence to the intervention. Furthermore, we found a statistically significant difference in the average score between pre- and post-intervention on the BSRA ( Z = 2.39, p = 0.016, effect size: 0.84). Both the Creyos assessment and TBI-QoL showed an improved trend following the intervention. Conclusion: The CSN was feasibly implemented in survivors of IPV-BI. The preliminary findings were promising in improving cognitive functions. However, larger-scale studies are necessary to establish the effectiveness of the intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".